C2. Build a Rating Recommendation Engine with Collaborative Filtering (Pratheerth Padman, 2022)

1. Course Overview: 1. Course Overview 00:00:00 2. Getting Started with Recommender Systems: 1. Course and Module Overview 00:01:44 2. What Are Recommendation Systems 00:03:12 3. Content-based Filtering 00:06:21 4. Collaborative Filtering 00:10:41 5. Recommender Systems - Business Use Cases 00:12:48 6. Module Summary 00:17:49 3. Memory-based Collaborative Filtering: 1. Module Overview 00:18:45 2. Understanding Memory-based Collaborative Filtering 00:19:51 3. Demo - Setting up Your Environment 00:23:58 4. Demo - Dataset Introduction and Exploratory Data Analysis 00:26:49 5. Demo - User-based Collaborative Filtering 00:35:54 6. Demo - Item-based Collaborative Filtering 00:44:32 7. Module Summary 00:53:25 4. Model-based Collaborative Filtering: 1. Module Overview 00:54:09 2. Understanding Model-based Collaborative Filtering 00:55:02 3. Demo - Movie Recommendations with SVD 01:04:02 4. Demo - Book Recommendations with Deep Learning 01:10:58 5. Module Summary and Feedback 01:19:34